Paper Citation Record · LEDGER

Simplifying Polylogarithms with Machine Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2206.04115.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2206.04115 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:48:01.428279Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T06:47:43.369333Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a4f8c137-0e4b-4332-8a3b-1e2082448899 · inbound

Generating particle physics Lagrangians with transformers cites this paper.

Generating particle physics Lagrangians with transformers Simplifying Polylogarithms with Machine Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:01.428279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 524e9688-a0af-4907-9dd3-e298dd0195ef · inbound

Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning cites this paper.

Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning Simplifying Polylogarithms with Machine Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T20:15:03.914041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 957eda78-1e01-4d2f-a402-4fa735fd1f58 · inbound

Explainable AI-assisted Optimization for Feynman Integral Reduction cites this paper.

Explainable AI-assisted Optimization for Feynman Integral Reduction Simplifying Polylogarithms with Machine Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T21:11:56.453211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bcd7926-f83c-496e-b6ac-015849bd307a · inbound

Analytic Regression of Feynman Integrals from High-Precision Numerical Sampling cites this paper.

Analytic Regression of Feynman Integrals from High-Precision Numerical Sampling Simplifying Polylogarithms with Machine Learning

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-06T14:46:49.676227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0d20f29-c8db-4340-a596-2318bbe72c0e · inbound

Learning to Unscramble: Simplifying Symbolic Expressions via Self-Supervised Oracle Trajectories cites this paper.

Learning to Unscramble: Simplifying Symbolic Expressions via Self-Supervised Oracle Trajectories Simplifying Polylogarithms with Machine Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:35:35.460991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3c02eef1-5b43-40d1-a7ed-300041a5b865 · inbound

Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding cites this paper.

Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding Simplifying Polylogarithms with Machine Learning

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:47:43.370644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5183bf97-75f1-4e98-983a-c839702cabd2 · inbound

Graph Neural Networks for the Graphical Bootstrap cites this paper.

Graph Neural Networks for the Graphical Bootstrap Simplifying Polylogarithms with Machine Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 983c4e52-7fc4-464b-b10e-c99511ab1089 · inbound

Scattering Amplitudes as Programs: Self-Evolving Search for Theory and Event Generation cites this paper.

Scattering Amplitudes as Programs: Self-Evolving Search for Theory and Event Generation Simplifying Polylogarithms with Machine Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:16.857106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.